scholarly journals Data mining system for predicting quality of polymeric films

2021 ◽  
Vol 1902 (1) ◽  
pp. 012045
Author(s):  
T B Chistyakova ◽  
M A Teterin
Keyword(s):  
Data Mining ◽  
Polymeric Films ◽  
Mining System ◽  
Data Mining System

Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties

2010 ◽  
pp. 174-197 ◽  
Author(s):  
James H. Hill
Keyword(s):  
Data Mining ◽  
Quality Of Service ◽  
Distributed System ◽  
Real Life ◽  
System Quality ◽  
Mining System ◽  
Execution Traces ◽  
Data Mining System ◽  
Software Lifecycle

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.

Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties

Data Mining ◽  
2013 ◽  
pp. 751-774
Author(s):  
James H. Hill
Keyword(s):  
Data Mining ◽  
Quality Of Service ◽  
Distributed System ◽  
Real Life ◽  
System Quality ◽  
Mining System ◽  
Execution Traces ◽  
Data Mining System ◽  
Software Lifecycle

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.

An intelligent data mining system for drop test analysis of electronic products

2001 ◽  
Vol 24 (3) ◽  
pp. 222-231 ◽  
Author(s):  
Chi Zhou ◽  
P.C. Nelson ◽  
Weimin Xiao ◽  
T.M. Tirpak ◽  
S.A. Lane
Keyword(s):  
Data Mining ◽  
Drop Test ◽  
Mining System ◽  
Test Analysis ◽  
Electronic Products ◽  
Data Mining System

A framework for a World Wide Web-based Data Mining system

1998 ◽  
Vol 21 (3) ◽  
pp. 163-185 ◽  
Author(s):  
Johnny S.K. Wong ◽  
Rishi Nayar ◽  
Armin R. Mikler
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
World Wide ◽  
Mining System ◽  
Web Based ◽  
Data Mining System

General system theoretic approach to data mining system

2002 ◽  
Vol 31 (3) ◽  
pp. 245-264 ◽  
Author(s):  
Yasuhiko Takahara ◽  
Naoki Shiba ◽  
Yongmei Liu
Keyword(s):  
Data Mining ◽  
General System ◽  
Theoretic Approach ◽  
Mining System ◽  
Data Mining System
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